Artificial Intelligence (AI) Market by Technology (ML, NLP, Context-aware AI, Computer Vision), Software (Type (Discriminative AI, Generative AI), No-code AI, Low-code AI), Hardware (Accelerators, Processors, Memory, Networking) - Global Forecast to 2030
The worldwide Artificial Intelligence market size is projected to grow from USD 214.6 billion in 2024 to $1,339.1 billion in 2030, at a Compound Annual Growth Rate (CAGR) of 35.7% during the forecast period.
AI Market is driven by significant advancements in computational power and data availability, which enable more sophisticated AI algorithms and models. Governments worldwide, particularly in regions like Asia Pacific, are heavily investing in AI research and development, fostering a supportive environment for innovation. Additionally, the rapid digital transformation across various industries—such as healthcare, finance, manufacturing, and retail—demands AI solutions to enhance efficiency, decision-making, and customer experiences. Moreover, the competitive advantage offered by AI in automating processes and personalizing services compels businesses to integrate AI technologies, accelerating market adoption.
Technology Roadmap of Artificial Intelligence Market
The Artificial Intelligence market report covers the technology roadmap, with insights into the short-term and long-term developments.
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Short-term (1-5 Years):
- Widespread adoption of transformer architectures, particularly in NLP tasks, leads to significant performance improvements.
- Federated learning techniques are increasingly implemented to enable collaborative model training across decentralized data sources while maintaining data privacy.
- Self-supervised learning approaches gain traction for unsupervised pre-training of AI models, improving model generalization and robustness.
- AI models with meta-learning capabilities emerge, enabling rapid adaptation to new tasks and environments with minimal training data.
- AI applications in personalized healthcare expand, offering tailored diagnosis, treatment recommendations, and drug discovery.
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Long-term (5+ years):
- Novel AI architectures integrating neuro-symbolic approaches, quantum computing, and biological-inspired models emerge, pushing AI capabilities beyond current boundaries.
- Advancements in explainable AI methods enhance model transparency and interpretability, fostering trust and accountability in AI decision-making.
- Hybrid AI systems combining symbolic reasoning with deep learning approaches are developed, offering robust and flexible AI solutions for complex tasks.
- Integration of AI with augmented reality (AR) and virtual reality (VR) technologies enables immersive and interactive AI experiences, revolutionizing human-computer interactions.
- AI integration in smart cities infrastructure optimizes urban planning, transportation systems, and resource management for sustainable and livable cities.
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Artificial Intelligence Market Dynamics
Driver: Rise of deep learning and machine learning technologies
The rise of deep learning and machine learning technologies is acting as a potent catalyst for the burgeoning growth of the AI market. These cutting-edge techniques have revolutionized the way computers can process and analyze vast amounts of data, enabling them to identify intricate patterns, make predictions, and even mimic human-like decision-making processes. The rapid advancements in deep learning algorithms, combined with the increasing computational power and availability of big data, have paved the way for more sophisticated AI applications across various industries. From image and speech recognition to natural language processing and predictive analytics, deep learning and machine learning are empowering AI systems to tackle complex tasks with unprecedented accuracy and efficiency, thereby driving widespread adoption and fueling the exponential expansion of the AI market.
Restraint: High costs associated with training data preparation
High initial investments and implementation costs pose a significant restraint for the AI market, deterring some organizations from fully embracing AI technologies. The upfront expenses associated with developing or procuring AI solutions, infrastructure setup, data collection, and talent acquisition can be substantial, particularly for small and medium-sized enterprises. Studies indicate that more than 50% of executives cited cost as the primary obstacle to AI implementation in their organizations. The complexity of AI integration is also evident in the time required for deployment, with estimates indicating that it takes an average of 18 months for companies to move from AI pilot projects to full-scale implementation. These financial and operational challenges can hinder widespread adoption of AI solutions, particularly among organizations with limited budgets or risk aversion, thereby constraining the overall growth potential of the AI market.
Opportunity: Advancements in generative AI to open new avenues for AI-powered content creation
Advancements in generative AI are opening new avenues for AI-powered content generation, presenting a significant opportunity for the AI market. Technologies such as GPT-4 and DALL-E are capable of creating high-quality text, images, and even videos, revolutionizing industries like marketing, entertainment, and content creation. Industry experts estimate that by 2025, 10% of all data produced will be generated by AI, a testament to the growing impact of generative AI technologies. These advancements enable businesses to produce personalized content at scale, enhancing customer engagement and reducing production costs. Enterprises are banking on the potential of generative AI to drive innovation and efficiency, creating new business models, and transforming industries through enhanced content creation capabilities.
Challenge:Concerns related to bias and inaccurately generated output
Concerns related to bias and inaccurately generated outputs pose a significant challenge for the AI market, as these issues can undermine the reliability and fairness of AI applications. Bias in AI systems can lead to discriminatory outcomes, which is a growing concern for both regulators and the public. Surverys have revealed that over 70% of CEOs are concerned about AI delivering biased outcomes, while 40% of consumers distrust AI due to perceived biases and inaccuracies. Inaccurately generated outputs, particularly from generative AI models, can spread misinformation and erode trust in AI technologies. Addressing these challenges is critical for the AI market's growth, requiring robust ethical standards, transparent algorithms, and ongoing efforts to mitigate biases.
Artificial Intelligence Market Ecosystem
By offering, software segment to account for the largest market share in 2024
Software segment is set to become the largest market segment in the AI market by revenue in 2024 due to its fundamental role in enabling diverse AI applications across industries. This segment includes both discriminative AI, which excels in tasks like classification and prediction, and generative AI, known for creating new content and simulating scenarios. These capabilities are crucial for industries such as finance, healthcare, and marketing, where AI-driven software solutions enhance efficiency, decision-making, and customer engagement. As companies seek to enhance efficiency, improve decision-making, and foster innovation, the demand for versatile and scalable AI software solutions is increasing. The flexibility of AI software to adapt to various use cases and industries positions it as a critical driver of AI adoption, underpinning the development and deployment of AI technologies on a wide scale.
By technology, context-aware AI is slated to register the highest growth rate during the forecast period.
Context-aware AI is expected to become the fastest growing market segment between 2024 and 2030 due to its capability to deliver highly personalized and adaptive user experiences by comprehending situational context. This advanced AI leverages data such as user behavior, environmental conditions, and temporal information to enhance the relevance and effectiveness of applications across various sectors. For instance, in healthcare, context-aware AI can improve patient monitoring and diagnostics by adapting to individual health patterns and environmental factors. In the automotive industry, it enhances safety and driving experience by responding to real-time road and driver conditions. According to a report by the World Economic Forum, 79% of executives believe that AI and machine learning will revolutionize their industries by 2025, with context-aware AI playing a pivotal role in this transformation. This growing recognition of the benefits of context-aware systems is driving accelerated investment and innovation, making it a key growth area in the AI market.
By business function, marketing & sales segment will hold the largest market share in 2024.
The marketing & sales business function is estimated to hold the largest market share in 2024 due to the significant impact AI technologies have on optimizing customer engagement, targeting, and conversion strategies. AI-powered tools such as predictive analytics, customer segmentation, and personalized recommendation systems enable businesses to understand and anticipate customer needs more accurately. This leads to more effective marketing campaigns, higher customer satisfaction, and increased sales. Additionally, AI-driven automation in customer service and sales processes enhances efficiency and reduces operational costs. As companies increasingly prioritize data-driven decision-making to stay competitive, the demand for AI solutions in marketing and sales is surging, driving substantial investment and revenue growth in this segment.
By vertical, healthcare & life sciences industry is set to witness the fastest growth rate over the forecast period.
The healthcare and life sciences industry is poised to become the fastest-growing market segment in the AI market during the forecast period due to several key factors. Firstly, the increasing adoption of electronic health records (EHRs) and the digitization of medical data have created vast repositories of information ripe for AI-driven analysis and insights. AI technologies, such as machine learning and natural language processing, can extract valuable insights from these data sets, enabling more accurate diagnoses, personalized treatments, and predictive healthcare analytics. Secondly, the growing demand for telemedicine and remote patient monitoring solutions, accelerated by the COVID-19 pandemic, is driving the need for AI-powered tools that can enhance virtual care delivery and improve patient outcomes. Additionally, the rising prevalence of chronic diseases and the aging population are fueling the demand for innovative healthcare solutions that can optimize resource allocation, streamline workflows, and improve operational efficiency.
By region, Asia Pacific is set to experience the fastest growth rate during the forecast period.
Asia Pacific is set to emerge as the fastest-growing region in AI market, due to several key factors. Firstly, the region's robust economic growth, fueled by emerging markets such as China, India, and Southeast Asia, presents a fertile ground for AI adoption and investment. These countries are rapidly digitizing their economies and investing heavily in AI infrastructure to drive innovation and competitiveness across various sectors. For instance, in May 2023, the Chinese government unveiled plans to construct AI industrial hubs and tech platforms nationwide, with the aim of bolstering research and development efforts. Furthermore, on September 2022, the Shenzhen government passed China’s first local regulation exclusively dedicated to enhancing AI development. Known as the “Regulations on Promoting Artificial Intelligence Industry in Shenzhen Special Economic Zone” (the Shenzhen AI Regulation), this legislation aims to drive the growth of the AI industry by encouraging government organizations to embrace artificial intelligence technology as pioneers and by providing increased financial support for artificial intelligence research within China.
Furthermore, the generative AI boom is accelerating AI development and adoption in the APAC region. Japanese companies such as SoftBank and Hitachi are actively developing or integrating generative AI into their operations. In March 2023, Mitsui & Co., Ltd., one of Japan’s leading conglomerates, partnered with NVIDIA on an initiative called Tokyo-1. This collaboration aims to empower the nation’s pharmaceutical leaders through advanced technologies, including high-resolution molecular dynamics simulations and generative AI models for drug discovery. Also, according to the draft of the Integrated Innovation Strategy for 2023, the Japanese government is committed to promoting the adoption of generative AI and enhancing domestic capabilities for its development. Simultaneously, the government aims to address potential risks associated with generative AI, such as copyright infringement and the exposure of confidential information.
Top Companies in Artificial Intelligence Market
The artificial intelligence solution and service providers have implemented several types of organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships, and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the artificial intelligence market include Microsoft (US), IBM (US), AWS (US), Google (US), Nvidia (US), along with SMEs and startups such as OpenAI (US), AI21 Labs (Israel), Mostly AI (Austria), Sentient.io (Canada) and Appier (Taiwan).
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Scope of the Report
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Report Metrics |
Details |
Market size available for years |
2019–2030 |
Base year considered |
2023 |
Forecast period |
2024–2030 |
Forecast units |
USD (Billion) |
Segments Covered |
Offering, Technology, Business Function, Vertical, and Region |
Geographies covered |
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
Companies covered |
IBM (US), NVIDIA (US), OpenAI (US), Oracle (US), Meta (US), Microsoft (US), Google (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), AMD (US), Qualcomm (US), Huawei (China), Alibaba Cloud (China), C3 AI (US), HQE Systems (US), Dialpad (US), Anduril Industries (US), Adept (US), DeepL (Germany), Moveworks (US), Arrow AI (US), Anthropic (US), Observe.ai (US), Anyscale (US), Frame AI (US), Uizard (Denmark), Shield AI (US), Cohere (Canada), Writesonic (US), Arthur (US), Capacity (US), Spot AI (US), Inbenta (US), Glean (US), Jasper (US), Atomwise (US), H2O.AI (US), Inflection AI (US), Persado (US), Appier (Taiwan), Graphcore (UK), AI21 Labs (Israel), Scale AI (US), IRIS Automation (US), Gamaya (Switzerland), Synthesia (England), Mostly AI (Austria), Mythic (US), Character.ai (US), ADA (Canada), Sentient.io (Singapore), Lumen5 (Canada), Aera Technology (US), Metropolis (US), Cerebras (US), Hailo (Israel), Soundful (US), and One AI (Israel). |
This research report categorizes the artificial intelligence market based on offering, technology, business function, vertical, and region:
By Offering:
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Hardware
- AI Accelerators
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Processors
- Central Processing Units (CPU)
- Graphics Processing Units (GPU)
- Field Programmable Gate Arrays (FPGA)
- Other Processors
- Memory
- Networking Hardware
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Software
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Software, By Type
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Discriminative AI
- Classification Algorithms
- Regression Algorithms
- Deep Learning Platforms
- Ensemble Methods
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Generative AI
- Generative Adversarial Networks (Gans)
- Autoencoders
- Convolutional Neural Networks (Cnns)
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Transformer Models
- Bidirectional Encoder Representations From Transformers (BERT)
- Generative Pre-trained Transformer 1 (GPT-1)
- Generative Pre-trained Transformer 2 (GPT-2)
- Generative Pre-trained Transformer 3 (GPT-3)
- Generative Pre-trained Transformer 4 (GPT-4)
- Language Model for Dialogue Applications (LaMDA)
- Other Transformer Models
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Discriminative AI
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Software, By Deployment Mode
- Cloud
- On-Premises
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Software, By Coding Automation
- No-code AI
- Low-code AI
- Pro-code AI
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Software, By Type
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Services
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Professional Services
- Training & Consulting Services
- System Integration & Deployment Services
- Support & Maintenance Services
- Managed Services
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Professional Services
By Technology:
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Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
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Natural Language Processing
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Natural Language Understanding (NLU)
- Text Classification
- Named Entity Recognition (NER)
- Intent Recognition
- Relationship Extraction
- Others
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Natural Language Generation (NLG)
- Text Summarization
- Machine Translation
- Language Modelling
- Dialogue Generation
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Natural Language Understanding (NLU)
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Computer Vision
- Object Detection
- Image Classification
- Semantic Segmentation
- Facial Recognition
- Others
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Context-aware Artificial Intelligence (CAAI)
- Context-Aware Recommendation Systems
- Multi-Modal AI
- Context-Aware Virtual Assistants
By Business Function
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Marketing & Sales
- Customer Segmentation
- Predictive Lead Scoring
- Personalized Recommendations
- Dynamic Pricing Optimization
- Churn Prediction
- Sentiment Analysis
- Marketing Attribution
- Others
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Human Resources
- Candidate Screening
- Employee Retention Analysis
- Performance Management
- Workforce Planning & Forecasting
- Employee Feedback Analysis
- Skill Gap Analysis
- Diversity & Inclusion Analytics
- Others
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Finance & Accounting
- Fraud Detection
- Financial Forecasting
- Expense Management
- Invoice Processing
- Credit Risk Assessment
- Regulatory Compliance
- Budgeting And Planning
- Others
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Operations
- Predictive Maintenance
- Supply Chain Optimization
- AIOps
- IT Service Management
- Quality Control
- Route Optimization
- Cold Chain Monitoring
- Inventory Management
- Procurement Automation
- Equipment Failure Prediction
- Others
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Cybersecurity
- Threat Detection & Response
- Anomaly Detection
- Vulnerability Assessment
- Identity & Access Management
- Security Automation & Orchestration
- Endpoint Protection
- Network Traffic Analysis
- Others
By Vertical
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BFSI
- Fraud Detection & Prevention
- Risk Assessment & Management
- Algorithmic Trading
- Credit Scoring & Underwriting
- Customer Service Automation
- Personalized Financial Recommendations
- Investment Portfolio Management
- Regulatory Compliance Monitoring
- Others
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Retail & E-Commerce
- Personalized Product Recommendation
- Customer Relationship Management
- Visual Search
- Virtual Customer Assistant
- Price Optimization
- Supply Chain Management & Demand Planning
- Virtual Stores
- Others
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Automotive, Transportation & Logistics
- Semi-Autonomous & Autonomous Vehicles
- Route Optimization
- Intelligent Traffic Management
- Driver Assistance Systems
- Smart Logistics & Warehousing
- Supply Chain Visibility & Tracking
- Fleet Management
- Vehicle Diagnostics & Telematics
- Others
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Government & Defense
- Surveillance & Situational Awareness
- Law Enforcement
- Intelligence Analysis & Data Processing
- Simulation & Training
- Command & Control
- Disaster Response & Recovery Assistance
- E-Governance & Digital City Services
- Others
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Healthcare & Life Sciences
- Patient Data & Risk Analysis
- Lifestyle Management & Monitoring
- Precision Medicine
- Inpatient Care & Hospital Management
- Medical Imaging & Diagnostics
- Drug Discovery
- AI-Assisted Medical Services
- Medical Research
- Others
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Telecommunications
- Network Optimization
- Network Security
- Customer Service & Support
- Network Planning & Optimization
- Network Analytics
- Intelligent Call Routing
- Network Fault Prediction
- Virtual Network Assistants
- Voice & Speech Recognition
- Others
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Energy & Utilities
- Energy Demand Forecasting
- Grid Optimization & Management
- Energy Consumption Analytics
- Smart Metering & Energy Data Management
- Energy Storage Optimization
- Real-Time Energy Monitoring & Control
- Power Quality Monitoring & Management
- Energy Trading & Market Forecasting
- Intelligent Energy Management Systems
- Others
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Manufacturing
- Material Movement Management
- Predictive Maintenance & Machinery Inspection
- Production Planning
- Recyclable Material Reclamation
- Quality Control
- Production Line Optimization
- Intelligent Inventory Management
- Others
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Agriculture
- Crop Monitoring & Yield Prediction
- Precision Farming
- Soil Analysis & Nutrient Management
- Pest & Disease Detection
- Irrigation Optimization & Water Management
- Automated Harvesting & Sorting
- Weed Detection & Management
- Weather & Climate Monitoring
- Livestock Monitoring & Health Management
- Others
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IT/ITeS
- Automated Code Generation & Optimization
- Automated IT Asset Management
- IT Ticketing & Support Automation
- Intelligent Data Backup & Recovery
- Automated Software Testing & Quality Assurance
- Others
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Media & Entertainment
- Content Recommendation Systems
- Content Creation & Generation
- Content Copyright Protection
- Audience Analytics & Segmentation
- Personalized Advertising
- Others
- Other Verticals
By Region
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North America
- United States
- Canada
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Europe
- UK
- Germany
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
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Asia Pacific
- China
- India
- Japan
- South Korea
- Australia and New Zealand (ANZ)
- ASEAN
- Rest of Asia Pacific
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Middle East and Africa
- Saudi Arabia
- UAE
- South Africa
- Turkey
- Qatar
- Rest of Middle East and Africa
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Latin America
- Brazil
- Mexico
- Argentina
- Chile
- Rest of Latin America
Recent Developments:
- In April 2024, Intel launched the Gaudi 3 accelerator, designed to advance AI performance and scalability. The Gaudi 3 features enhanced networking capabilities with 200 Gbps Ethernet connections, allowing it to scale up to clusters of 8,192 accelerators. This accelerator aims to boost Intel's AI strategy by providing robust solutions for training and inference workloads, achieving up to 1.7 times faster training speeds compared to competitive models?.
- In April 2024, Informatica joined hands with Google to develop an MDM Extension for Google Cloud BigQuery, facilitating rapid access to trusted customer data. The collaboration enables enterprise-grade GenAI applications leveraging IDMC, Google Vertex AI, BigQuery, and Gemini models for enhanced analytics and insights.
- In April 2024, Samsung struck a deal worth USD 3 billion with AMD to supply HBM3E memory chips for AMD’s AI chips, enhancing their performance. Samsung's chips, known for high bandwidth and capacity, will power AMD's MI350, competing with NVIDIA's offerings.
- In April 2024, Qualcomm introduced the Snapdragon X Plus, featuring the Qualcomm Oryon CPU for a reported 37% boost in CPU performance and 54% less power consumption. The CPU is tailor made for AI-driven applications with the Hexagon NPU, offering 45 TOPS for laptops, aiming to revolutionize mobile computing.
- In April 2024, Microsoft and The Coca-Cola Company entered a five-year strategic partnership to advance Coca-Cola's technology strategy, leveraging Microsoft Cloud and generative AI. The USD 1.1 billion commitment aims to drive innovation and productivity across Coca-Cola’s global operations.
- In April 2024, Arena and AMD collaborated to deploy Arena Atlas, an AI test & optimization product, enhancing GPU testing and optimization. Atlas autonomously identifies power and performance optimizations, accelerating product development and improving chip design.
- In March 2024, Salesforce launched the Einstein 1 Studio platform. Einstein 1 Studio empowers admins and developers with low-code AI tools to customize Einstein Copilot and embed AI across Salesforce apps. Deep integration with Salesforce Data Cloud also ensures rich insights leveraged from customer data.
- In March 2024, NVIDIA join forces with Microsoft to revolutionize healthcare and life sciences with cloud, AI, and accelerated computing. Leveraging Azure and NVIDIA technologies, the collaboration aims to accelerate drug discovery, enhance medical imaging diagnostics, and advance genomics analysis for improved patient care worldwide.
- In March 2024, IBM and Riyadh Air collaborated to transform air travel experiences, leveraging AI for augmenting customer experience throughout the travel. Riyadh Air aims to offer seamless, personalized journeys, utilizing IBM Consulting's expertise across channels and IBM Garage's collaborative model.
- In February 2024, OpenAI announced the introduction of Sora, a text-to-video generative AI model. Sora can generate videos for up to a minute long while maintaining visual quality and adherence to the user’s prompt. This model is not publicly available as of now and limited access has been granted to handful of red teamers, visual artists, designers, and filmmakers.
Frequently Asked Questions (FAQ):
What is emergence in artificial intelligence growth?
Artificial Intelligence (AI) refers to algorithms and computational models that enable machines to perform cognitive functions typically associated with human intelligence. These functions include, but are not limited to, natural language processing (NLP), machine learning (ML), computer vision, and decision-making. AI systems leverage advanced techniques such as deep learning, reinforcement learning, and probabilistic reasoning to process data, recognize patterns, and make autonomous decisions or provide predictive analytics. These systems are designed to improve over time through iterative training and adaptation, often utilizing large-scale data and high-performance computing infrastructure to optimize performance and accuracy.
How much is the AI industry worth during 2024-2030?
Artificial Intelligence (AI) Industry worth $1,339.1 billion by 2030.
How is the generative AI market shaping the broader artificial intelligence industry?
The generative AI market is profoundly shaping the broader artificial intelligence industry by driving advancements in machine learning, natural language processing, and creative applications. Technologies like OpenAI's recent GPT-4o have demonstrated significant progress, capable of producing coherent and contextually relevant text, which has spurred innovation across various sectors. The increasing capability and application of generative AI highlight its role as a catalyst for broader AI adoption, pushing the boundaries of what machines can autonomously create and enabling new business models and efficiencies across industries.
Which are the key drivers supporting the growth of the artificial intelligence market?
The key factors driving the growth of the artificial intelligence market include growth in adoption of autonomous artificial intelligence, rise of deep learning and machine learning technologies, and advancements in computing power and the availability of large databases.
Which are the top 3 verticals prevailing in the artificial intelligence market?
BFSI, healthcare & life sciences, and retail & eCommerce are the top three verticals in the AI market due to their vast data generation and the critical need for advanced analytics. BFSI utilizes AI for fraud detection, customer service, and risk management. Healthcare leverages AI for diagnostics, personalized treatment plans, and administrative efficiency. Retail benefits from AI through personalized marketing, inventory management, and customer insights, driving significant investments and innovations in these sectors.
Who are the key vendors in the artificial intelligence market?
Some major players in the AI market include IBM (US), NVIDIA (US), OpenAI (US), Oracle (US), Meta (US), Microsoft (US), Google (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), Cisco (US), HPE (US), Siemens (Germany), Baidu (China), SAS Institute (US), AMD (US), Qualcomm (US), Huawei (China), Alibaba Cloud (China), C3 AI (US), HQE Systems (US), Dialpad (US), Anduril Industries (US), Adept (US), DeepL (Germany), Moveworks (US), Arrow AI (US), Anthropic (US), Observe.ai (US), Anyscale (US), Frame AI (US), Uizard (Denmark), Shield AI (US), Cohere (Canada), Writesonic (US), Arthur (US), Capacity (US), Spot AI (US), Inbenta (US), Glean (US), Jasper (US), Atomwise (US), H2O.AI (US), Inflection AI (US), Persado (US), Appier (Taiwan), Graphcore (UK), AI21 Labs (Israel), Scale AI (US), IRIS Automation (US), Gamaya (Switzerland), Synthesia (England), Mostly AI (Austria), Mythic (US), Character.ai (US), ADA (Canada), Sentient.io (Singapore), Lumen5 (Canada), Aera Technology (US), Metropolis (US), Cerebras (US), Hailo (Israel), Soundful (US), and One AI (Israel). .
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- 5.1 INTRODUCTION
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5.2 MARKET DYNAMICSDRIVERS- Growth in adoption of autonomous artificial intelligence- Rise of deep learning and machine learning technologies- Advancements in computing power and availability of large databasesRESTRAINTS- Shortage of skilled artificial intelligence professionals- Regulatory and legal implications of artificial intelligence- High initial investment and implementation costsOPPORTUNITIES- Growing adoption of cloud-based AI solutions- Expansion of edge AI capabilities for real-time data processing and decision-making- Advancements in generative AI to open new avenues for AI-powered content creationCHALLENGES- Lack of transparency and explainability in decision-making process of AI- Concerns related to bias and inaccurately generated output- Integration challenges and lack of understanding of state-of-the-art systems
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5.3 ETHICS AND IMPLICATIONS OF ARTIFICIAL INTELLIGENCE DEVELOPMENTBIAS AND FAIRNESSACCOUNTABILITY AND TRUSTIMPACT ON SOCIAL DYNAMICSPRIVACY AND SECURITYTRANSPARENCY AND EXPLAINABILITYENVIRONMENTAL IMPACT
- 5.4 EVOLUTION OF ARTIFICIAL INTELLIGENCE (AI) MARKET
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5.5 ARTIFICIAL INTELLIGENCE AUTONOMY LEVELSWEAK/NARROW ARTIFICIAL INTELLIGENCESTRONG ARTIFICIAL INTELLIGENCE- Artificial General Intelligence (AGI)- Artificial Super Intelligence (ASI)
- 5.6 SUPPLY CHAIN ANALYSIS
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5.7 ECOSYSTEM ANALYSISARTIFICIAL INTELLIGENCE HARDWARE PROVIDERSARTIFICIAL INTELLIGENCE SOFTWARE PROVIDERSARTIFICIAL INTELLIGENCE PLATFORM PROVIDERSARTIFICIAL INTELLIGENCE NETWORK PROVIDERSARTIFICIAL INTELLIGENCE SECURITY PROVIDERSARTIFICIAL INTELLIGENCE SERVICE PROVIDERSARTIFICIAL INTELLIGENCE CLOUD PROVIDERS
- 5.8 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
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5.9 CASE STUDY ANALYSISHEALTHCARE & LIFE SCIENCES- AstraZeneca accelerated time to insights using Amazon SageMakerMANUFACTURING- Siemens connected frontline workers and engineers for real-time problem-solving using Azure AIRETAIL & E-COMMERCE- Unified customer data and experiences for Home Depot across its online and in-store channelsTELECOMMUNICATIONS- T-mobile data fine-tuned with Nvidia riva services to resolve customer issues in real-timeBFSI- Accelerated collection and analysis of investment information for Edgar Finance with help of IBM
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5.10 TECHNOLOGY ANALYSISKEY TECHNOLOGIES- Generative AI- Conversational AI- Autonomous AI & Autonomous Agent- AutoML- Causal AI- Decision Intelligence- MLOps- Embedded AI- Composite AICOMPLEMENTARY TECHNOLOGIES- Blockchain- Edge Computing- Sensors and Robotics- CybersecurityADJACENT TECHNOLOGIES- Predictive Analytics- IoT- Big Data- Augmented Reality- Virtual Reality
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5.11 TARIFF AND REGULATORY LANDSCAPETARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231)REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONSREGULATIONS: ARTIFICIAL INTELLIGENCE- North America- Europe- Asia Pacific- Middle East & Africa- Latin America
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5.12 PATENT ANALYSISMETHODOLOGYPATENTS FILED, BY DOCUMENT TYPEINNOVATION AND PATENT APPLICATIONS- Top 10 applicants in artificial intelligence market
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5.13 PRICING ANALYSISAVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TECHNOLOGYINDICATIVE PRICING ANALYSIS, BY OFFERING
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5.14 TRADE ANALYSISEXPORT SCENARIO OF PROCESSORS AND CONTROLLERSIMPORT SCENARIO OF PROCESSORS AND CONTROLLERS
- 5.15 KEY CONFERENCES AND EVENTS (2024–2025)
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5.16 PORTER’S FIVE FORCES ANALYSISTHREAT OF NEW ENTRANTSTHREAT OF SUBSTITUTESBARGAINING POWER OF SUPPLIERSBARGAINING POWER OF BUYERSINTENSITY OF COMPETITIVE RIVALRY
- 5.17 ARTIFICIAL INTELLIGENCE MARKET TECHNOLOGY ROADMAP
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5.18 ARTIFICIAL INTELLIGENCE BUSINESS MODELSAI SAAS PRODUCT VENDORAI PLATFORM VENDORAI LICENSING AND INTELLECTUAL PROPERTY VENDORAI TECHNICAL CONSULTING VENDORAI MANAGEMENT CONSULTING VENDORAI RESEARCH AND DEVELOPMENT VENDOR
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5.19 KEY STAKEHOLDERS & BUYING CRITERIAKEY STAKEHOLDERS IN BUYING PROCESSBUYING CRITERIA
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5.20 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSESTRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
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6.1 INTRODUCTIONOFFERING: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
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6.2 HARDWAREAI ACCELERATORS- Rise in demand for more optimized processing in artificial intelligence applications to drive growthPROCESSORS- Technological advancements pave way for smaller, more powerful, and more efficient chips- Graphics Processing Unit (GPU)- Central Processing Unit (CPU)- Field Programmable Gate Arrays (FPGA)- Other ProcessorsMEMORY- Advancements in specialized memory solutions to impact performance and scalability of AI systemsNETWORKING HARDWARE- Enhancing efficient AI operations with AI networking hardware to drive market growth
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6.3 SOFTWARESOFTWARE, BY TYPE- Discriminative AI- Generative AISOFTWARE, BY DEPLOYMENT MODE- Cloud- On-premisesSOFTWARE, BY CODING AUTOMATION- No-code AI- Low-code AI
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6.4 SERVICESPROFESSIONAL SERVICES- Professional services to help organizations sustain benefits of AI technology, ensuring continuous improvement and competitive advantage- Training & consulting- System integration & deployment- Support & maintenanceMANAGED SERVICES- Managed services to provide end-to-end management for artificial intelligence, helping businesses focus on core competencies
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7.1 INTRODUCTIONTECHNOLOGY: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
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7.2 MACHINE LEARNINGMACHINE LEARNING ALGORITHMS TO ENABLE SYSTEMS TO LEARN FROM DATA, ENHANCING THEIR ACCURACY AND EFFICIENCYSUPERVISED LEARNINGUNSUPERVISED LEARNINGREINFORCEMENT LEARNING
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7.3 NATURAL LANGUAGE PROCESSINGBUSINESSES TO LEVERAGE NLP TO ENHANCE CUSTOMER SERVICE THROUGH ADVANCED CHATBOTS AND VIRTUAL ASSISTANTSNATURAL LANGUAGE UNDERSTANDING (NLU)- Text Classification- Named Entity Recognition (NER)- Intent Recognition- Relationship Extraction- Other NLU TechnologiesNATURAL LANGUAGE GENERATION- Text Summarization- Machine Translation- Language Modeling- Dialogue Generation
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7.4 COMPUTER VISIONGROWING DEMAND FOR AUTOMATION, EFFICIENCY, AND ENHANCED DECISION-MAKING TO DRIVE ADOPTION OF COMPUTER VISION TECHNOLOGYOBJECT DETECTIONIMAGE CLASSIFICATIONSEMANTIC SEGMENTATIONFACIAL RECOGNITIONOTHER COMPUTER VISION TECHNOLOGIES
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7.5 CONTEXT-AWARE ARTIFICIAL INTELLIGENCE (CAAI)USING CONTEXT ENHANCES DECISION-MAKING PROCESSES AND IMPROVES ABILITY TO INTERACT WITH USE OF CONTEXT-AWARE AICONTEXT-AWARE RECOMMENDATION SYSTEMSMULTI-MODAL AICONTEXT-AWARE VIRTUAL ASSISTANTS
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8.1 INTRODUCTIONBUSINESS FUNCTION: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
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8.2 MARKETING & SALESAI IN MARKETING & SALES TO ENHANCE CUSTOMER ENGAGEMENT, PERSONALIZE MARKETING EFFORTS, AND OPTIMIZE SALES PROCESSESCUSTOMER SEGMENTATIONPREDICTIVE LEAD SCORINGPERSONALIZED RECOMMENDATIONSDYNAMIC PRICING OPTIMIZATIONCHURN PREDICTIONSENTIMENT ANALYSISMARKETING ATTRIBUTIONOTHERS
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8.3 HUMAN RESOURCESDEPLOYMENT OF AI-DRIVEN CHATBOTS IN HR TO HELP IN HANDLING ROUTINE INQUIRIES FROM EMPLOYEES AND INCREASE EFFICIENCYCANDIDATE SCREENINGEMPLOYEE RETENTION ANALYSISPERFORMANCE MANAGEMENTWORKFORCE PLANNING AND FORECASTINGEMPLOYEE FEEDBACK ANALYSISSKILL GAP ANALYSISDIVERSITY AND INCLUSION ANALYTICSOTHERS
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8.4 FINANCE & ACCOUNTINGAI IN FINANCE & ACCOUNTING TO HELP STREAMLINE PROCESSES, ENHANCE ACCURACY, AND PROVIDE VALUABLE INSIGHTS FOR DECISION-MAKINGFRAUD DETECTIONFINANCIAL FORECASTINGEXPENSE MANAGEMENTINVOICE PROCESSINGCREDIT RISK ASSESSMENTREGULATORY COMPLIANCEBUDGETING AND PLANNINGOTHERS
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8.5 OPERATIONSPREVENTING COSTLY DOWNTIME AND EXTENDING LIFESPAN OF ASSETS WITH USE OF AI IN OPERATIONS TO DRIVE MARKET GROWTHPREDICTIVE MAINTENANCESUPPLY CHAIN OPTIMIZATIONAIOPSIT SERVICE MANAGEMENTQUALITY CONTROLROUTE OPTIMIZATIONCOLD CHAIN MONITORINGINVENTORY MANAGEMENTPROCUREMENT AUTOMATIONEQUIPMENT FAILURE PREDICTIONOTHERS
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8.6 CYBERSECURITYAI USED IN CONTINUOUSLY SCANNING NETWORKS AND SYSTEMS TO DETECT AND ADDRESS SECURITY WEAKNESSESTHREAT DETECTION & RESPONSEANOMALY DETECTIONVULNERABILITY ASSESSMENTIDENTITY AND ACCESS MANAGEMENTSECURITY AUTOMATION AND ORCHESTRATIONENDPOINT PROTECTIONNETWORK TRAFFIC ANALYSISOTHERS
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9.1 INTRODUCTIONVERTICAL: ARTIFICIAL INTELLIGENCE MARKET DRIVERS
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9.2 BFSIBANKS ACHIEVED INCREASED PRODUCTIVITY AND COST REDUCTION THROUGH ADOPTION OF ADVANCED ALGORITHMS AND DATA ANALYSISFRAUD DETECTION & PREVENTIONRISK ASSESSMENT & MANAGEMENTALGORITHMIC TRADINGCREDIT SCORING & UNDERWRITINGCUSTOMER SERVICE AUTOMATIONPERSONALIZED FINANCIAL RECOMMENDATIONINVESTMENT PORTFOLIO MANAGEMENTREGULATORY COMPLIANCE MONITORINGOTHER BFSI APPLICATIONS
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9.3 RETAIL & ECOMMERCEAI TO ALLOW PERSONALIZED SHOPPING EXPERIENCES AND TAILORED PRODUCT RECOMMENDATIONS IN RETAIL & ECOMMERCEPERSONALIZED PRODUCT RECOMMENDATIONCUSTOMER RELATIONSHIP MANAGEMENTVISUAL SEARCHVIRTUAL CUSTOMER ASSISTANTPRICE OPTIMIZATIONSUPPLY CHAIN MANAGEMENT & DEMAND PLANNINGVIRTUAL STORESOTHER RETAIL & ECOMMERCE APPLICATIONS
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9.4 MANUFACTURINGADOPTION OF INTELLIGENT SYSTEMS TO AUTOMATE AND OPTIMIZE OPERATIONS IN MANUFACTURINGPREDICTIVE MAINTENANCE & MACHINERY INSPECTIONMATERIAL MOVEMENT MANAGEMENTPRODUCTION PLANNINGRECYCLABLE MATERIAL RECLAMATIONQUALITY CONTROLPRODUCTION LINE OPTIMIZATIONINTELLIGENT INVENTORY MANAGEMENTOTHER MANUFACTURING APPLICATIONS
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9.5 GOVERNMENT & DEFENSEINITIATIVES TAKEN BY GOVERNMENTS TO STRENGTHEN NATIONAL SECURITY WILL DRIVE MARKET GROWTHSURVEILLANCE & SITUATIONAL AWARENESSLAW ENFORCEMENTINTELLIGENCE ANALYSIS & DATA PROCESSINGSIMULATION & TRAININGCOMMAND & CONTROLDISASTER RESPONSE & RECOVERY ASSISTANCEE-GOVERNANCE & DIGITAL CITY SERVICESOTHER GOVERNMENT & DEFENSE APPLICATIONS
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9.6 HEALTHCARE & LIFE SCIENCESLEVERAGING VAST DATASETS TO PROVIDE CLINICAL DECISION SUPPORT AND IMPROVING PATIENT CARE WITH AIPATIENT DATA & RISK ANALYSISLIFESTYLE MANAGEMENT & MONITORING AND WEARABLESPRECISION MEDICINEIN-PATIENT CARE & HOSPITAL MANAGEMENTMEDICAL IMAGING & DIAGNOSTICSDRUG DISCOVERYAI-ASSISTED MEDICAL SERVICESMEDICAL RESEARCHOTHER HEALTHCARE & LIFE SCIENCES APPLICATIONS
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9.7 TELECOMMUNICATIONSAI TO HELP IN EFFICIENTLY MANAGING INCREASING DATA TRAFFIC AND IMPROVING PERFORMANCE OF NETWORKSNETWORK OPTIMIZATIONNETWORK SECURITYCUSTOMER SERVICE & SUPPORTNETWORK ANALYTICSINTELLIGENT CALL ROUTINGNETWORK FAULT PREDICTIONVIRTUAL NETWORK ASSISTANTVOICE & SPEECH RECOGNITIONOTHER TELECOMMUNICATIONS APPLICATIONS
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9.8 ENERGY & UTILITIESEFFICIENT ENERGY UTILIZATION AND COST SAVINGS BY LEVERAGING ARTIFICIAL INTELLIGENCE TO DRIVE MARKET GROWTHENERGY DEMAND FORECASTINGGRID OPTIMIZATION & MANAGEMENTENERGY CONSUMPTION ANALYTICSSMART METERING & ENERGY DATA MANAGEMENTENERGY STORAGE OPTIMIZATIONREAL-TIME ENERGY MONITORING & CONTROLPOWER QUALITY MONITORING & MANAGEMENTENERGY TRADING & MARKETING FORECASTINGINTELLIGENT ENERGY MANAGEMENT SYSTEMSOTHER ENERGY & UTILITIES APPLICATIONS
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9.9 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICSADVANCEMENTS IN MACHINE LEARNING, COMPUTER VISION, AND DATA ANALYTICS TO DRIVE MARKET GROWTHSUPPLY CHAIN VISIBILITY AND TRACKINGROUTE OPTIMIZATIONINTELLIGENT TRAFFIC MANAGEMENTDRIVER ASSISTANCE SYSTEMSSMART LOGISTICS & WAREHOUSINGSEMI-AUTONOMOUS & AUTONOMOUS VEHICLESFLEET MANAGEMENTVEHICLE DIAGNOSTICS AND TELEMATICSOTHER AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS APPLICATIONS
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9.10 AGRICULTUREAGRICULTURE INDUSTRY HAS POTENTIAL TO ENHANCE PRODUCTIVITY, REDUCE COSTS, AND MINIMIZE WASTE USING AICROP MONITORING & YIELD PREDICTIONPRECISION FARMINGSOIL ANALYSIS & NUTRIENT MANAGEMENTPEST & DISEASE DETECTIONIRRIGATION OPTIMIZATION & WATER MANAGEMENTAUTOMATED HARVESTING & SORTINGWEED DETECTION & MANAGEMENTWEATHER & CLIMATE MONITORING- LIVESTOCK MONITORING & HEALTH MANAGEMENT- OTHER AGRICULTURAL APPLICATIONS
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9.11 IT/ITESRISE IN OPPORTUNITIES TO ENHANCE CUSTOMER EXPERIENCES AND DRIVE COMPETITIVE ADVANTAGE BY LEVERAGING AIAUTOMATED CODE GENERATION & OPTIMIZATIONAUTOMATED IT ASSET MANAGEMENTIT TICKETING & SUPPORT AUTOMATIONINTELLIGENT DATA BACKUP & RECOVERYAUTOMATED SOFTWARE TESTING & QUALITY ASSURANCEOTHER IT/ITES APPLICATIONS
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9.12 MEDIA & ENTERTAINMENTAI TO ENABLE MEDIA & ENTERTAINMENT COMPANIES TO ANALYZE VAST AMOUNTS OF DATA, AUTOMATE PROCESSES, AND EXTRACT VALUABLE INSIGHTSCONTENT RECOMMENDATION SYSTEMSCONTENT CREATION & GENERATIONCONTENT COPYRIGHT PROTECTIONAUDIENCE ANALYTICS AND SEGMENTATIONPERSONALIZED ADVERTISINGOTHER MEDIA & ENTERTAINMENT APPLICATIONS
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9.13 OTHER VERTICALSARTIFICIAL INTELLIGENCE (AI) MARKET, BY REGION
- 10.1 INTRODUCTION
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10.2 NORTH AMERICANORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERSNORTH AMERICA: RECESSION IMPACTUS- Growth initiatives by US government and businesses to drive market growthCANADA- Rise in adoption of technologies for research and innovation in Canada to drive market growth
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10.3 EUROPEEUROPE: ARTIFICIAL INTELLIGENCE MARKET DRIVERSEUROPE: RECESSION IMPACTUK- Continuous investments and initiatives by UK government to bolster growth of AI marketGERMANY- Increasing need to prioritize artificial intelligence governance aligning with regulatory frameworks to drive market growth in GermanyFRANCE- Active promotions of AI initiatives and investments in research and development to push French market forwardITALY- Adoption of sophisticated technologies with thriving startup ecosystem in Italy to drive market growthSPAIN- Initiatives by Spanish government to promote widespread adoption of artificial intelligenceNORDICSBENELUXREST OF EUROPE
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10.4 ASIA PACIFICASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET DRIVERSASIA PACIFIC: IMPACT OF RECESSIONCHINA- Government initiatives and regulations in favor of AI development in China to drive market growthINDIA- Exploring generative AI for innovation and industry transformation in India to drive market growthJAPAN- Japan’s diverse ecosystem of startups and established tech giants to drive innovationSOUTH KOREA- Government investments in artificial intelligence infrastructure to enhance citizen services in South KoreaAUSTRALIA & NEW ZEALAND- Business experiment with gen AI applications to analyze vast amounts of data and extract valuable insights will drive market growthASEANREST OF ASIA PACIFIC
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10.5 MIDDLE EAST & AFRICAMIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERSMIDDLE EAST & AFRICA: IMPACT OF RECESSIONSAUDI ARABIA- Greater emphasis on artificial intelligence development across key industry verticals in Saudi Arabia to drive market growthUAE- Implementing proactive strategies and establishing regulatory frameworks for AI adoption to drive market growthSOUTH AFRICA- Huge investments in South Africa to develop small and medium-sized enterprises for betterment of society will drive market growthTURKEY- Turkish government fostering innovation to drive economic growthQATAR- Robust and resilient physical and digital infrastructure to be key enabler for Qatar’s economic developmentEGYPT- Government’s strategic focus on digital transformation and innovation to drive the growth of market in EgyptKUWAIT- Rising number of investments in AI technologies and government initiatives to push the market in KuwaitREST OF MIDDLE EAST & AFRICA
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10.6 LATIN AMERICALATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET DRIVERSLATIN AMERICA: IMPACT OF RECESSIONBRAZIL- Strong governmental support and growing interest from private enterprises to boost AI market in BrazilMEXICO- Mexico to become digitally advanced country due to adoption of AIARGENTINA- Adoption of artificial intelligence to enhance processes and improve decision-making of businesses in ArgentinaCHILE- Rise in adoption of artificial intelligence to promote research and innovation centered around human well-being to drive market growthREST OF LATIN AMERICA
- 11.1 OVERVIEW
- 11.2 KEY PLAYER STRATEGIES
- 11.3 REVENUE ANALYSIS
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11.4 MARKET SHARE ANALYSISMARKET RANKING ANALYSIS
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11.5 PRODUCT COMPARATIVE ANALYSISPRODUCT COMPARATIVE ANALYSIS, BY MACHINE LEARNING- Vertex AI- Amazon Forecast- NVIDIA Jarvis- SAS Viya- Microsoft Azure AI PersonalizerPRODUCT COMPARATIVE ANALYSIS, BY NATURAL LANGUAGE PROCESSING- Gensim- MindMeld- Google Cloud Natural Language- MonkeyLearn- Amazon ComprehendPRODUCT COMPARATIVE ANALYSIS, BY COMPUTER VISION- OpenCV- Viso Suite- TensorFlow- MATLAB- Keras
- 11.6 COMPANY VALUATION AND FINANCIAL METRICS
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11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023STARSEMERGING LEADERSPERVASIVE PLAYERSPARTICIPANTSCOMPANY FOOTPRINT: KEY PLAYERS, 2023- Company Footprint- Region Footprint- Technology Footprint- Vertical Footprint- Business Function Footprint
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11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023PROGRESSIVE COMPANIESRESPONSIVE COMPANIESDYNAMIC COMPANIESSTARTING BLOCKSCOMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023- Detailed List of Key Startups/SMEs- Competitive Benchmarking of Key Startups/SMEs
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11.9 COMPETITIVE SCENARIO AND TRENDSPRODUCT LAUNCHES AND ENHANCEMENTSDEALS
- 12.1 INTRODUCTION
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12.2 MAJOR PLAYERSGOOGLEMICROSOFTIBMORACLEAWSINTELSALESFORCESAPAMDQUALCOMMCISCOMETAHPESIEMENSNVIDIABAIDUSAS INSTITUTEOPENAIC3 AIHUAWEIALIBABA CLOUDHQE SYSTEMS, INC.APPIER
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12.3 STARTUP/SME PROFILESADEPTH2O.AISPOT AIANDURIL INDUSTRIESANTHROPICCOHEREINBENTACHARACTER.AIDEEPLATOMWISEINFLECTION AIGLEANMOVEWORKSARROW AIOBSERVE AIANYSCALEFRAME AIAI21 LABSPERSADOUIZARDSYNTHESIADIALPADGRAPHCORESHIELD AISCALE AIIRIS AUTOMATIONGAMAYAARTHUR AICAPACITYMYTHICADAMOSTLY AISENTIENT.IOLUMEN5AERA TECHNOLOGYMETROPOLIS TECHNOLOGIESCEREBRASHAILOJASPERSOUNDFULWRITESONICONE AI
- 13.1 INTRODUCTION
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13.2 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030MARKET DEFINITIONMARKET OVERVIEW- Generative AI market, by offering- Generative AI market, by data modality- Generative AI market, by application- Generative AI market, by vertical- Generative AI market, by region
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13.3 CONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2030MARKET DEFINITIONMARKET OVERVIEW- Conversational AI market, by offering- Conversational AI market, by business function- Conversational AI market, by conversational agent type- Conversational AI market, by vertical- Conversational AI market, by region
- 14.1 DISCUSSION GUIDE
- 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
- 14.3 CUSTOMIZATION OPTIONS
- 14.4 RELATED REPORTS
- 14.5 AUTHOR DETAILS
- TABLE 1 ARTIFICIAL INTELLIGENCE MARKET: DETAILED SEGMENTATION
- TABLE 2 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2023
- TABLE 3 PRIMARY INTERVIEWS
- TABLE 4 FACTOR ANALYSIS
- TABLE 5 IMPACT OF RECESSION ON GLOBAL ARTIFICIAL INTELLIGENCE MARKET
- TABLE 6 GLOBAL ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2019–2023 (USD BILLION, Y-O-Y %)
- TABLE 7 GLOBAL ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2024–2030 (USD BILLION, Y-O-Y %)
- TABLE 8 ARTIFICIAL INTELLIGENCE (AI) MARKET: SUPPLY CHAIN ANALYSIS
- TABLE 9 ARTIFICIAL INTELLIGENCE (AI) MARKET: ECOSYSTEM
- TABLE 10 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231), 2023
- TABLE 11 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 12 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 13 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 14 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 15 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- TABLE 16 PATENTS FILED, 2013–2023
- TABLE 17 TOP 20 PATENT OWNERS IN ARTIFICIAL INTELLIGENCE MARKET, 2013–2023
- TABLE 18 LIST OF FEW PATENTS IN ARTIFICIAL INTELLIGENCE MARKET, 2022–2023
- TABLE 19 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 TECHNOLOGIES (USD)
- TABLE 20 INDICATIVE PRICING LEVELS OF GENERATIVE AI SOLUTIONS, BY OFFERING
- TABLE 21 ARTIFICIAL INTELLIGENCE (AI) MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024–2025
- TABLE 22 PORTERS’ FIVE FORCES’ IMPACT ON ARTIFICIAL INTELLIGENCE (AI) MARKET
- TABLE 23 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
- TABLE 24 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
- TABLE 25 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
- TABLE 26 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
- TABLE 27 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2019–2023 (USD MILLION)
- TABLE 28 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024–2030 (USD MILLION)
- TABLE 29 AI ACCELERATORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 30 AI ACCELERATORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 31 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2019–2023 (USD MILLION)
- TABLE 32 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2024–2030 (USD MILLION)
- TABLE 33 GRAPHICS PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 34 GRAPHICS PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 35 CENTRAL PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 36 CENTRAL PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 37 FIELD PROGRAMMABLE GATE ARRAYS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 38 FIELD PROGRAMMABLE GATE ARRAYS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 39 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 40 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 41 MEMORY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 42 MEMORY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 43 NETWORKING HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 44 NETWORKING HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 45 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2019–2023 (USD BILLION)
- TABLE 46 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2024–2030 (USD BILLION)
- TABLE 47 CLASSIFICATION ALGORITHMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 48 CLASSIFICATION ALGORITHMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 49 REGRESSION ALGORITHMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 50 REGRESSION ALGORITHMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 51 DEEP LEARNING PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 52 DEEP LEARNING PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 53 ENSEMBLE METHODS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 54 ENSEMBLE METHODS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 55 RULE-BASED GENERATIVE AI MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 56 RULE-BASED GENERATIVE AI MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 57 STATISTICAL-BASED GENERATIVE AI MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 58 STATISTICAL-BASED GENERATIVE AI MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 59 DEEP LEARNING GENERATIVE AI PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 60 DEEP LEARNING GENERATIVE AI PLATFORMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 61 GENERATIVE ADVERSARIAL NETWORKS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 62 GENERATIVE ADVERSARIAL NETWORKS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 63 AUTOENCODERS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 64 AUTOENCODERS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 65 CONVOLUTIONAL NEURAL NETWORKS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 66 CONVOLUTIONAL NEURAL NETWORKS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 67 TRANSFORMER MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 68 TRANSFORMER MODELS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 69 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD BILLION)
- TABLE 70 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD BILLION)
- TABLE 71 CLOUD: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 72 CLOUD: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 73 ON-PREMISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 74 ON-PREMISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 75 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD MILLION)
- TABLE 76 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD MILLION)
- TABLE 77 NO-CODE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 78 NO-CODE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 79 LOW-CODE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 80 LOW-CODE AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 81 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2019–2023 (USD MILLION)
- TABLE 82 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2024–2030 (USD MILLION)
- TABLE 83 SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
- TABLE 84 SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
- TABLE 85 TRAINING & CONSULTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 86 TRAINING & CONSULTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 87 SYSTEM INTEGRATION & DEPLOYMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 88 SYSTEM INTEGRATION & DEPLOYMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 89 SUPPORT & MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 90 SUPPORT & MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 91 MANAGED SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 92 MANAGED SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 93 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
- TABLE 94 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
- TABLE 95 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2019–2023 (USD BILLION)
- TABLE 96 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2024–2030 (USD BILLION)
- TABLE 97 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 98 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 99 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 100 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 101 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 102 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 103 ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2019–2023 (USD BILLION)
- TABLE 104 ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2024–2030 (USD BILLION)
- TABLE 105 NATURAL LANGUAGE UNDERSTANDING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 106 NATURAL LANGUAGE UNDERSTANDING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 107 NATURAL LANGUAGE GENERATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 108 NATURAL LANGUAGE GENERATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 109 ARTIFICIAL INTELLIGENCE MARKET, BY COMPUTER VISION, 2019–2023 (USD BILLION)
- TABLE 110 ARTIFICIAL INTELLIGENCE MARKET, BY COMPUTER VISION, 2024–2030 (USD BILLION)
- TABLE 111 OBJECT DETECTION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 112 OBJECT DETECTION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 113 IMAGE CLASSIFICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 114 IMAGE CLASSIFICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 115 SEMANTIC SEGMENTATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 116 SEMANTIC SEGMENTATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 117 FACIAL RECOGNITION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 118 FACIAL RECOGNITION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 119 OTHER COMPUTER VISION TECHNOLOGIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 120 OTHER COMPUTER VISION TECHNOLOGIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 121 ARTIFICIAL INTELLIGENCE MARKET, BY CONTEXT-AWARE ARTIFICIAL INTELLIGENCE, 2019–2023 (USD MILLION)
- TABLE 122 ARTIFICIAL INTELLIGENCE MARKET, BY CONTEXT-AWARE ARTIFICIAL INTELLIGENCE, 2024–2030 (USD MILLION)
- TABLE 123 CONTEXT-AWARE RECOMMENDATION SYSTEMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 124 CONTEXT-AWARE RECOMMENDATION SYSTEMS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 125 MULTI-MODAL AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 126 MULTI-MODAL AI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 127 CONTEXT-AWARE VIRTUAL ASSISTANTS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 128 CONTEXT-AWARE VIRTUAL ASSISTANTS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 129 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
- TABLE 130 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
- TABLE 131 MARKETING & SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 132 MARKETING & SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 133 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 134 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 135 FINANCE & ACCOUNTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 136 FINANCE & ACCOUNTING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 137 OPERATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 138 OPERATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 139 CYBERSECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 140 CYBERSECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 141 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
- TABLE 142 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
- TABLE 143 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 144 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 145 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 146 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 147 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 148 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 149 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 150 RETAIL & ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 151 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 152 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 153 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 154 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 155 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 156 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 157 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 158 GOVERNMENT & DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 159 HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 160 HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 161 HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 162 HEALTHCARE & LIFE SCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 163 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 164 TELECOM: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 165 TELECOMMUNICATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 166 TELECOMMUNICATIONS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 167 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 168 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 169 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 170 ENERGY & UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 171 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 172 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 173 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 174 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 175 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 176 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 177 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
- TABLE 178 AGRICULTURE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
- TABLE 179 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 180 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 181 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 182 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 183 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 184 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 185 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD BILLION)
- TABLE 186 MEDIA & ENTERTAINMENT: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2024–2030 (USD BILLION)
- TABLE 187 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 188 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 189 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
- TABLE 190 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
- TABLE 191 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
- TABLE 192 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
- TABLE 193 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2019–2023 (USD BILLION)
- TABLE 194 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024–2030 (USD BILLION)
- TABLE 195 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2019–2023 (USD BILLION)
- TABLE 196 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2024–2030 (USD BILLION)
- TABLE 197 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE DEPLOYMENT MODE, 2019–2023 (USD BILLION)
- TABLE 198 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE DEPLOYMENT MODE, 2024–2030 (USD BILLION)
- TABLE 199 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD BILLION)
- TABLE 200 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD BILLION)
- TABLE 201 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2019–2023 (USD BILLION)
- TABLE 202 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2024–2030 (USD BILLION)
- TABLE 203 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
- TABLE 204 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
- TABLE 205 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
- TABLE 206 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
- TABLE 207 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
- TABLE 208 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
- TABLE 209 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2019–2023 (USD BILLION)
- TABLE 210 NORTH AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2024–2030 (USD BILLION)
- TABLE 211 US: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 212 US: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 213 CANADA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 214 CANADA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 215 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
- TABLE 216 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
- TABLE 217 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2019–2023 (USD BILLION)
- TABLE 218 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024–2030 (USD BILLION)
- TABLE 219 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2019–2023 (USD BILLION)
- TABLE 220 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2024–2030 (USD BILLION)
- TABLE 221 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD BILLION)
- TABLE 222 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD BILLION)
- TABLE 223 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD BILLION)
- TABLE 224 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD BILLION)
- TABLE 225 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2019–2023 (USD BILLION)
- TABLE 226 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2024–2030 (USD BILLION)
- TABLE 227 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
- TABLE 228 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
- TABLE 229 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
- TABLE 230 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
- TABLE 231 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
- TABLE 232 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
- TABLE 233 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2019–2023 (USD BILLION)
- TABLE 234 EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2024–2030 (USD BILLION)
- TABLE 235 UK: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 236 UK: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 237 GERMANY: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 238 GERMANY: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 239 FRANCE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 240 FRANCE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 241 ITALY: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 242 ITALY: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 243 SPAIN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 244 SPAIN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 245 NORDICS: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 246 NORDICS: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 247 BENELUX: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 248 BENELUX: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 249 REST OF EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 250 REST OF EUROPE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 251 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
- TABLE 252 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
- TABLE 253 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2019–2023 (USD BILLION)
- TABLE 254 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024–2030 (USD BILLION)
- TABLE 255 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2019–2023 (USD BILLION)
- TABLE 256 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2024–2030 (USD BILLION)
- TABLE 257 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD BILLION)
- TABLE 258 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD BILLION)
- TABLE 259 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD BILLION)
- TABLE 260 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD BILLION)
- TABLE 261 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2019–2023 (USD BILLION)
- TABLE 262 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2024–2030 (USD BILLION)
- TABLE 263 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
- TABLE 264 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
- TABLE 265 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
- TABLE 266 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
- TABLE 267 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
- TABLE 268 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
- TABLE 269 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2019–2023 (USD BILLION)
- TABLE 270 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2024–2030 (USD BILLION)
- TABLE 271 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 272 CHINA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 273 INDIA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 274 INDIA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 275 JAPAN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 276 JAPAN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 277 SOUTH KOREA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 278 SOUTH KOREA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 279 AUSTRALIA & NEW ZEALAND: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 280 AUSTRALIA & NEW ZEALAND: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 281 ASEAN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 282 ASEAN: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 283 REST OF ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 284 REST OF ASIA PACIFIC: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 285 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 286 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 287 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2019–2023 (USD MILLION)
- TABLE 288 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024–2030 (USD MILLION)
- TABLE 289 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
- TABLE 290 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
- TABLE 291 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
- TABLE 292 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
- TABLE 293 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD MILLION)
- TABLE 294 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD MILLION)
- TABLE 295 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2019–2023 (USD MILLION)
- TABLE 296 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2024–2030 (USD MILLION)
- TABLE 297 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
- TABLE 298 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
- TABLE 299 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
- TABLE 300 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
- TABLE 301 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
- TABLE 302 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
- TABLE 303 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
- TABLE 304 MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
- TABLE 305 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 306 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 307 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
- TABLE 308 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
- TABLE 309 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
- TABLE 310 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
- TABLE 311 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
- TABLE 312 SAUDI ARABIA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
- TABLE 313 UAE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 314 UAE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 315 SOUTH AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 316 SOUTH AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 317 TURKEY: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 318 TURKEY: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 319 QATAR: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 320 QATAR: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 321 EGYPT: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 322 EGYPT: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 323 KUWAIT: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 324 KUWAIT: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 325 REST OF MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 326 REST OF MIDDLE EAST & AFRICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 327 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 328 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 329 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2019–2023 (USD MILLION)
- TABLE 330 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024–2030 (USD MILLION)
- TABLE 331 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
- TABLE 332 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE TYPE, 2024–2030 (USD MILLION)
- TABLE 333 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
- TABLE 334 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
- TABLE 335 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2019–2023 (USD MILLION)
- TABLE 336 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY CODING AUTOMATION, 2024–2030 (USD MILLION)
- TABLE 337 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2019–2023 (USD MILLION)
- TABLE 338 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2024–2030 (USD MILLION)
- TABLE 339 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
- TABLE 340 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)
- TABLE 341 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
- TABLE 342 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
- TABLE 343 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
- TABLE 344 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
- TABLE 345 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
- TABLE 346 LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
- TABLE 347 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 348 BRAZIL: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 349 MEXICO: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 350 MEXICO: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 351 ARGENTINA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 352 ARGENTINA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 353 CHILE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 354 CHILE: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 355 REST OF LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 356 REST OF LATIN AMERICA: ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 357 OVERVIEW OF STRATEGIES ADOPTED BY KEY ARTIFICIAL INTELLIGENCE VENDORS
- TABLE 358 ARTIFICIAL INTELLIGENCE MARKET: DEGREE OF COMPETITION
- TABLE 359 REGION FOOTPRINT (23 COMPANIES)
- TABLE 360 TECHNOLOGY FOOTPRINT (23 COMPANIES)
- TABLE 361 VERTICAL FOOTPRINT (23 COMPANIES)
- TABLE 362 BUSINESS FUNCTION FOOTPRINT (23 COMPANIES)
- TABLE 363 ARTIFICIAL INTELLIGENCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
- TABLE 364 ARTIFICIAL INTELLIGENCE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
- TABLE 365 ARTIFICIAL INTELLIGENCE MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–APRIL 2024
- TABLE 366 ARTIFICIAL INTELLIGENCE MARKET: DEALS, JANUARY 2021–APRIL 2024
- TABLE 367 GOOGLE: BUSINESS OVERVIEW
- TABLE 368 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 369 GOOGLE: DEALS
- TABLE 370 GOOGLE: EXPANSIONS
- TABLE 371 MICROSOFT: BUSINESS OVERVIEW
- TABLE 372 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 373 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 374 MICROSOFT: DEALS
- TABLE 375 IBM: BUSINESS OVERVIEW
- TABLE 376 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 377 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 378 IBM: DEALS
- TABLE 379 ORACLE: BUSINESS OVERVIEW
- TABLE 380 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 381 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 382 ORACLE: DEALS
- TABLE 383 AWS: BUSINESS OVERVIEW
- TABLE 384 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 385 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 386 AWS: DEALS
- TABLE 387 AWS: OTHERS
- TABLE 388 INTEL: BUSINESS OVERVIEW
- TABLE 389 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 390 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 391 INTEL: DEALS
- TABLE 392 SALESFORCE: BUSINESS OVERVIEW
- TABLE 393 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 394 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 395 SALESFORCE: DEALS
- TABLE 396 SAP: BUSINESS OVERVIEW
- TABLE 397 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 398 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 399 SAP: DEALS
- TABLE 400 AMD: BUSINESS OVERVIEW
- TABLE 401 AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 402 AMD: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 403 AMD: DEALS
- TABLE 404 QUALCOMM: BUSINESS OVERVIEW
- TABLE 405 QUALCOMM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 406 QUALCOMM: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 407 QUALCOMM: DEALS
- TABLE 408 CISCO: BUSINESS OVERVIEW
- TABLE 409 CISCO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 410 CISCO: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 411 CISCO: DEALS
- TABLE 412 META: BUSINESS OVERVIEW
- TABLE 413 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 414 META: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 415 META: DEALS
- TABLE 416 HPE: BUSINESS OVERVIEW
- TABLE 417 HPE: PRODUCTS OFFERED
- TABLE 418 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 419 HPE: DEALS
- TABLE 420 SIEMENS: BUSINESS OVERVIEW
- TABLE 421 SIEMENS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 422 SIEMENS: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 423 SIEMENS: DEALS
- TABLE 424 NVIDIA: BUSINESS OVERVIEW
- TABLE 425 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 426 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 427 NVIDIA: DEALS
- TABLE 428 BAIDU: BUSINESS OVERVIEW
- TABLE 429 BAIDU: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 430 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 431 BAIDU: DEALS
- TABLE 432 SAS INSTITUTE: BUSINESS OVERVIEW
- TABLE 433 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 434 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 435 SAS INSTITUTE: DEALS
- TABLE 436 OPENAI: BUSINESS OVERVIEW
- TABLE 437 OPENAI: SOLUTIONS/SERVICES OFFERED
- TABLE 438 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 439 OPENAI: DEALS
- TABLE 440 C3 AI: BUSINESS OVERVIEW
- TABLE 441 C3 AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 442 C3 AI: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 443 C3 AI: DEALS
- TABLE 444 HUAWEI: BUSINESS OVERVIEW
- TABLE 445 HUAWEI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 446 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 447 HUAWEI: DEALS
- TABLE 448 ALIBABA CLOUD: BUSINESS OVERVIEW
- TABLE 449 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 450 ALIBABA CLOUD: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 451 ALIBABA CLOUD: DEALS
- TABLE 452 HQE SYSTEMS, INC.: BUSINESS OVERVIEW
- TABLE 453 HQE SYSTEMS, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 454 APPIER: BUSINESS OVERVIEW
- TABLE 455 APPIER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
- TABLE 456 APPIER: PRODUCT LAUNCHES AND ENHANCEMENTS
- TABLE 457 APPIER: DEALS
- TABLE 458 GENERATIVE AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 459 GENERATIVE AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 460 GENERATIVE AI MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
- TABLE 461 GENERATIVE AI MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
- TABLE 462 GENERATIVE AI MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
- TABLE 463 GENERATIVE AI MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
- TABLE 464 GENERATIVE AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
- TABLE 465 GENERATIVE AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
- TABLE 466 GENERATIVE AI MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 467 GENERATIVE AI MARKET, BY REGION, 2024–2030 (USD MILLION)
- TABLE 468 CONVERSATIONAL AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
- TABLE 469 CONVERSATIONAL AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
- TABLE 470 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
- TABLE 471 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
- TABLE 472 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL AGENT TYPE, 2019–2023 (USD MILLION)
- TABLE 473 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL AGENT TYPE, 2024–2030 (USD MILLION)
- TABLE 474 CONVERSATIONAL AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
- TABLE 475 CONVERSATIONAL AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
- TABLE 476 CONVERSATIONAL AI MARKET, BY REGION, 2019–2023 (USD MILLION)
- TABLE 477 CONVERSATIONAL AI MARKET, BY REGION, 2024–2030 (USD MILLION)
- FIGURE 1 ARTIFICIAL INTELLIGENCE MARKET: RESEARCH DESIGN
- FIGURE 2 DATA TRIANGULATION
- FIGURE 3 ARTIFICIAL INTELLIGENCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
- FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE/HARDWARE/SERVICES OF ARTIFICIAL INTELLIGENCE MARKET
- FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/HARDWARE/SERVICES OF ARTIFICIAL INTELLIGENCE MARKET
- FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/HARDWARE/SERVICES OF ARTIFICIAL INTELLIGENCE MARKET
- FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF ARTIFICIAL INTELLIGENCE THROUGH OVERALL IT SPENDING
- FIGURE 8 STUDY LIMITATIONS
- FIGURE 9 SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET SIZE IN 2024
- FIGURE 10 AI ACCELERATORS TO BE LEADING SEGMENT IN 2024
- FIGURE 11 GRAPHICS PROCESSING UNIT (GPU) TO BE LARGEST SEGMENT IN 2024
- FIGURE 12 DISCRIMINATIVE AI TO ACCOUNT FOR MAJORITY MARKET SHARE IN 2024
- FIGURE 13 TRANSFORMER MODELS SLATED TO BECOME FASTEST-GROWING SEGMENT DURING FORECAST PERIOD
- FIGURE 14 DEEP LEARNING PLATFORMS TO BECOMING LEADING SEGMENT IN 2024
- FIGURE 15 CLOUD SEGMENT TO BECOME LEADING SOFTWARE DEPLOYMENT MODE IN 2024
- FIGURE 16 LOW-CODE AI SOFTWARE TO REGISTER LARGER MARKET SHARE IN 2024
- FIGURE 17 PROFESSIONAL SERVICES TO REGISTER LARGER MARKET SHARE IN 2024
- FIGURE 18 TRAINING & CONSULTING TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
- FIGURE 19 MACHINE LEARNING TO EMERGE AS LARGEST SEGMENT IN 2024
- FIGURE 20 MARKETING & SALES TO BE LEADING SEGMENT IN 2024
- FIGURE 21 HEALTHCARE & LIFE SCIENCES TO EMERGE AS FASTEST-GROWING VERTICAL DURING FORECAST PERIOD
- FIGURE 22 ASIA PACIFIC TO REGISTER HIGHEST GROWTH RATE BETWEEN 2024 AND 2030
- FIGURE 23 INCREASING DEMAND FOR GENERATIVE AI AND IMPROVING PERFORMANCE OF AI ALGORITHMS ON EDGE DEVICES TO DRIVE MARKET GROWTH
- FIGURE 24 ARTIFICIAL INTELLIGENCE MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
- FIGURE 25 CONTEXT-AWARE AI SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
- FIGURE 26 SOFTWARE SEGMENT AND HEALTHCARE & LIFE SCIENCES VERTICAL TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2024
- FIGURE 27 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
- FIGURE 28 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ARTIFICIAL INTELLIGENCE MARKET
- FIGURE 29 END-USER SPENDING ON AUTONOMOUS AI AMOUNTED TO USD 4.7 BILLION IN 2023
- FIGURE 30 IMPROVEMENTS IN DEEP LEARNING HAVE LED TO AI MODELS MATCHING HUMAN PERFORMANCE IN COGNITIVE SKILLS
- FIGURE 31 RAPID STRIDES IN COMPUTING POWER HAVE LED TO DEVELOPMENT OF SOPHISTICATED AI MODELS TRAINED ON EXTREMELY LARGE DATASETS
- FIGURE 32 SHORTAGE OF SKILLED AI WORKFORCE HAS LED TO SHARP SPIKE IN SALARIES OF AI PROFESSIONALS
- FIGURE 33 HIGH COST OF AI MODEL TRAINING REMAINS SIGNIFICANT BARRIER TO WIDESPREAD AI ADOPTION
- FIGURE 34 PUBLIC CLOUD WAS MOST POPULAR DEPLOYMENT MODE OF ARTIFICIAL INTELLIGENCE-AS-A-SERVICE IN 2023
- FIGURE 35 ARTIFICIAL INTELLIGENCE SOLUTIONS GAINING MOMENTUM FOR HANDLING DIVERSE DATA GENERATED VIA EDGE DEVICES
- FIGURE 36 GENERATIVE AI WITNESSED RAPID ADOPTION ACROSS ENTERPRISE USE CASES, INCLUDING CONTENT GENERATION & CURATION
- FIGURE 37 AI MODELS LIKE CHATGPT STILL MARRED BY ISSUES SUCH AS BIAS, INACCURACIES, AND INCONSISTENCIES IN OUTPUT
- FIGURE 38 CO2 EQUIVALENT EMISSIONS (TONNES) OF ARTIFICIAL INTELLIGENCE MODELS COMPARED WITH REAL-LIFE EXAMPLES, 2022
- FIGURE 39 AI DATA CENTERS EXPECTED TO ACCOUNT FOR 13% OF ANNUAL GLOBAL ELECTRICITY CONSUMPTION AND 6% OF CARBON FOOTPRINT BY 2030
- FIGURE 40 EVOLUTION OF ARTIFICIAL INTELLIGENCE
- FIGURE 41 ARTIFICIAL INTELLIGENCE MARKET: SUPPLY CHAIN ANALYSIS
- FIGURE 42 KEY PLAYERS IN ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM (PART 1/2)
- FIGURE 43 KEY PLAYERS IN ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM (PART 2/2)
- FIGURE 44 TOP 10 AI UNICORNS, BY ENTERPRISE VALUATION, 2023
- FIGURE 45 AI STARTUPS: EQUITY DEALS AND FUNDING VALUE, 2017–2023
- FIGURE 46 ARTIFICIAL INTELLIGENCE EQUITY FUNDING, BY TYPE, 2019–2023
- FIGURE 47 ARTIFICIAL INTELLIGENCE FUNDING, BY REGION, 2022–2023
- FIGURE 48 AVERAGE DEAL SIZE AND MEDIAN DEAL SIZE FOR AI STARTUPS, 2019–2023
- FIGURE 49 MERGERS AND ACQUISITIONS IN AI INDUSTRY, 2019–2023
- FIGURE 50 MOST ACTIVE INVESTORS IN AI, BY NUMBER OF COMPANIES BACKED, Q4 2023
- FIGURE 51 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013–2023
- FIGURE 52 TOP 10 APPLICANTS IN ARTIFICIAL INTELLIGENCE MARKET, 2013–2023
- FIGURE 53 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
- FIGURE 54 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 TECHNOLOGIES
- FIGURE 55 PROCESSORS AND CONTROLLERS EXPORT, BY KEY COUNTRY, 2016–2023 (USD BILLION)
- FIGURE 56 PROCESSORS AND CONTROLLERS IMPORT, BY KEY COUNTRY, 2016–2023 (USD BILLION)
- FIGURE 57 ARTIFICIAL INTELLIGENCE (AI) MARKET: PORTER’S FIVE FORCES ANALYSIS
- FIGURE 58 TECHNOLOGY ROADMAP FOR ARTIFICIAL INTELLIGENCE MARKET
- FIGURE 59 BUSINESS MODELS OF ARTIFICIAL INTELLIGENCE MARKET
- FIGURE 60 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
- FIGURE 61 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
- FIGURE 62 ARTIFICIAL INTELLIGENCE MARKET: TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
- FIGURE 63 SERVICES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 64 AI ACCELERATORS TO HOLD LARGEST SHARE IN 2024
- FIGURE 65 GRAPHICS PROCESSING UNIT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
- FIGURE 66 GENERATIVE AI TO BE FASTER-GROWING SOFTWARE TYPE BETWEEN 2024 AND 2030
- FIGURE 67 CLOUD SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
- FIGURE 68 NO-CODE AI SEGMENT TO WITNESS HIGHER GROWTH RATE DURING FORECAST PERIOD
- FIGURE 69 MANAGED SERVICES TO REGISTER HIGHER CAGR IN ARTIFICIAL INTELLIGENCE MARKET DURING FORECAST PERIOD
- FIGURE 70 SUPPORT & MAINTENANCE TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 71 CONTEXT AWARE AI TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 72 CYBERSECURITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 73 HEALTHCARE & LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 74 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 75 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
- FIGURE 76 NORTH AMERICA: MARKET SNAPSHOT
- FIGURE 77 ASIA PACIFIC: MARKET SNAPSHOT
- FIGURE 78 TOP 5 PLAYERS DOMINATED MARKET FOR LAST 5 YEARS
- FIGURE 79 SHARE OF LEADING COMPANIES IN ARTIFICIAL INTELLIGENCE MARKET, 2023
- FIGURE 80 PRODUCT COMPARATIVE ANALYSIS, BY MACHINE LEARNING
- FIGURE 81 PRODUCT COMPARATIVE ANALYSIS, BY NATURAL LANGUAGE PROCESSING
- FIGURE 82 PRODUCT COMPARATIVE ANALYSIS, BY COMPUTER VISION
- FIGURE 83 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
- FIGURE 84 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
- FIGURE 85 ARTIFICIAL INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
- FIGURE 86 COMPANY FOOTPRINT (23 COMPANIES)
- FIGURE 87 ARTIFICIAL INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
- FIGURE 88 GOOGLE: COMPANY SNAPSHOT
- FIGURE 89 MICROSOFT: COMPANY SNAPSHOT
- FIGURE 90 IBM: COMPANY SNAPSHOT
- FIGURE 91 ORACLE: COMPANY SNAPSHOT
- FIGURE 92 AWS: COMPANY SNAPSHOT
- FIGURE 93 INTEL: COMPANY SNAPSHOT
- FIGURE 95 SAP: COMPANY SNAPSHOT
- FIGURE 96 AMD: COMPANY SNAPSHOT
- FIGURE 97 QUALCOMM: COMPANY SNAPSHOT
- FIGURE 98 CISCO: COMPANY SNAPSHOT
- FIGURE 99 META: COMPANY SNAPSHOT
- FIGURE 100 HPE: COMPANY SNAPSHOT
- FIGURE 101 SIEMENS: COMPANY SNAPSHOT
- FIGURE 102 NVIDIA: COMPANY SNAPSHOT
- FIGURE 103 BAIDU: COMPANY SNAPSHOT
- FIGURE 104 C3 AI: COMPANY SNAPSHOT
- FIGURE 105 APPIER: COMPANY SNAPSHOT
A wide range of secondary sources directories journals and subscription databases were used in the Artificial Intelligence (Al) market research study. Advisory services third-party service providers preferred artificial intelligence providers and industry experts from the core and related industries made up most of the primary sources. suppliers’ final consumers and additional business organizations. Comprehensive interviews were carried out with a range of primary respondents comprising prominent industry players and subject matter experts to gather and validate crucial qualitative and quantitative data and evaluate the markets potential.
Secondary Research
In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, artificial intelligence spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to software, hardware, services, deployment mode, technology, business function, verticals, and regions, and key developments from both market- and technology-oriented perspectives.
Primary Research
In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and artificial intelligence expertise; related key executives from artificial intelligence solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.
Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using artificial intelligence solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of artificial intelligence solutions and services, which would impact the overall artificial intelligence market.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Multiple approaches were adopted for estimating and forecasting the artificial intelligence market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.
Market Size Estimation Methodology-Top-down approach
In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the artificial intelligence market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on breadth of hardware, software and services according to technologies, business functions, deployment modes, and verticals. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.
Market Size Estimation Methodology-Bottom-up approach
In the bottom-up approach, the adoption rate of artificial intelligence solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of artificial intelligences solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.
Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the artificial intelligence market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major artificial intelligences providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall artificial intelligence market size and segments’ size were determined and confirmed using the study.
Global Artificial Intelligence Market Size: Bottom-Up and Top-Down Approach:
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Market Definition
Artificial Intelligence (AI) refers to algorithms and computational models that enable machines to perform cognitive functions typically associated with human intelligence. These functions include, but are not limited to, natural language processing (NLP), machine learning (ML), computer vision, and decision-making. AI systems leverage advanced techniques such as deep learning, reinforcement learning, and probabilistic reasoning to process data, recognize patterns, and make autonomous decisions or provide predictive analytics. These systems are designed to improve over time through iterative training and adaptation, often utilizing large-scale data and high-performance computing infrastructure to optimize performance and accuracy.
Stakeholders
- Artificial intelligence software developers
- Artificial intelligence hardware vendors
- Business analysts
- Cloud service providers
- Consulting service providers
- Enterprise end-users
- Distributors and Value-added Resellers (VARs)
- Government agencies
- Independent Software Vendors (ISV)
- Managed service providers
- Market research and consulting firms
- Support & maintenance service providers
- System Integrators (SIs)/migration service providers
- Technology providers
Report Objectives
- To define, describe, and predict the artificial intelligence market by offering (hardware, software and services), technology, business function, vertical, and region
- To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
- To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the artificial intelligence market
- To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
- To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East Africa, and Latin America
- To profile key players and comprehensively analyze their market rankings and core competencies.
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the artificial intelligence market
- To analyze the impact of recession across all the regions across the artificial intelligence market
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:
Product Analysis
- Product quadrant, which gives a detailed comparison of the product portfolio of each company.
Geographic Analysis
- Further breakup of the North American artificial intelligence market
- Further breakup of the European artificial intelligence market
- Further breakup of the Asia Pacific artificial intelligence market
- Further breakup of the Middle Eastern & African artificial intelligence market
- Further breakup of the Latin America artificial intelligence market
Company Information
- Detailed analysis and profiling of additional market players (up to five)
Growth opportunities and latent adjacency in Artificial Intelligence (AI) Market